$$u_t- \Delta{u}+cu=f(t,x) \text{ in } (0,T) \times \mathbb{R}^n \\ u(0,x)=\phi(x) \text{ for } x \in \mathbb{R}^n$$ that will give us the solution in closed form.
If he doesn't understand why $f(x)=\begin{cases} x^2, & x\in\Bbb Q\\ 0, &\text{otherwise}\end{cases}$ has only one derivative at $0$, he's probably in trouble.
I have a question. We consider the following Cauchy problem:
$$u_t- \Delta{u}+cu=f(t,x) \text{ in } (0,T) \times \mathbb{R}^n \\ u(0,x)=\phi(x) \text{ for } x \in \mathbb{R}^n$$ I want to find a formula that will give us the solution in closed form. Could you give me a hint how can we can find it?
It's a bit hazily stated, but I took it as: $f'(x)=(ad-bc)(cx+d)^{-2}$. The factor in the numerator is the determinant of a 2-by-2 matrix. But what does 1-variable calculus have to do with linear algebra?
@Semiclassic @Mahmoud: To answer this question in depth, I'd have to use the multivariable chain rule and explain what $\Bbb P^1$ is (over $\Bbb R$ or $\Bbb C$).
It comes back to something I've mentioned before to @Balarka and to @Danu: When you have a mapping $f$ from a manifold to projective space, you can understand its derivative in terms of the derivative of a local smooth lift $\tilde f$ to the associated vector space. That is very geometric. (Visualize a cone and you want to move not along the rulings of the cone.)
not an identity, @Mahmoud, but a constant.
LOL @Fargle. There's some in another one of my books. :P That's what meow is working on.
@TedShifrin Mm. I've tried learning it at different points. It's just that my visualization is far too Euclidean and it's hard to divorce myself of that.
You're interpreting a map $\Bbb P^1\to\Bbb P^1$ by lifting to $\Bbb C^2\to\Bbb C^2$. Indeed, a projective transformation is what you get by taking any nonsingular transformation and looking at the induced map on $\Bbb P^1$.
BTW, @Fargle: Were there other problems you sent me that you want me to read/criticize carefully? I feel like this chapter is silly since you already took Munkres.
So we'd say: A linear map $\Bbb K^2\to \Bbb K^2$ induces a projective map $\Bbb{KP}^1\to \Bbb{KP}^1$, which projects to a linear fractional map $\Bbb K\to \Bbb K$?
In a graphing software I use, all the curves in $\mathbb{E}^3$ with height diverging to $+\infty$ look as though they meet at the same point above the origin. Even $(0,t,e^t)$ for example appears to almost curve backward some to "hit" that point at infinity.
I get that's how the projection is, but it's so weird to look at.